Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Seongjin, Saunier, Nicolas, Zheng, Vincent Zhihao, Trepanier, Martin, Sun, Lijun |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Probabilistic Traffic Forecasting with Dynamic Regression
by: Zheng, Vincent Zhihao, et al.
Published: (2023)
by: Zheng, Vincent Zhihao, et al.
Published: (2023)
Better Batch for Deep Probabilistic Time Series Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2023)
by: Zheng, Vincent Zhihao, et al.
Published: (2023)
Multivariate Probabilistic Time Series Forecasting with Correlated Errors
by: Zheng, Vincent Zhihao, et al.
Published: (2024)
by: Zheng, Vincent Zhihao, et al.
Published: (2024)
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2024)
by: Zheng, Vincent Zhihao, et al.
Published: (2024)
Dynamic Modes as Time Representation for Spatiotemporal Forecasting
by: Kong, Menglin, et al.
Published: (2025)
by: Kong, Menglin, et al.
Published: (2025)
Frequency-Constrained Learning for Long-Term Forecasting
by: Kong, Menglin, et al.
Published: (2025)
by: Kong, Menglin, et al.
Published: (2025)
Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting
by: Cheong, Christopher, et al.
Published: (2025)
by: Cheong, Christopher, et al.
Published: (2025)
Laplacian Convolutional Representation for Traffic Time Series Imputation
by: Chen, Xinyu, et al.
Published: (2022)
by: Chen, Xinyu, et al.
Published: (2022)
Forecasting Sparse Movement Speed of Urban Road Networks with Nonstationary Temporal Matrix Factorization
by: Chen, Xinyu, et al.
Published: (2022)
by: Chen, Xinyu, et al.
Published: (2022)
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
by: Jiang, Sicong, et al.
Published: (2024)
by: Jiang, Sicong, et al.
Published: (2024)
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
by: Liu, Fuqiang, et al.
Published: (2024)
by: Liu, Fuqiang, et al.
Published: (2024)
Toward Safe Integration of UAM in Terminal Airspace: UAM Route Feasibility Assessment using Probabilistic Aircraft Trajectory Prediction
by: Cho, Jungwoo, et al.
Published: (2025)
by: Cho, Jungwoo, et al.
Published: (2025)
Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment
by: Min, Donggyu, et al.
Published: (2025)
by: Min, Donggyu, et al.
Published: (2025)
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research
by: Choi, Seongjin, et al.
Published: (2024)
by: Choi, Seongjin, et al.
Published: (2024)
Beyond coauthorship: semantic structure and phantom collaborators in transportation research, 1967--2025
by: Choi, Seongjin
Published: (2026)
by: Choi, Seongjin
Published: (2026)
Overcoming the Modality Gap in Context-Aided Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2026)
by: Zheng, Vincent Zhihao, et al.
Published: (2026)
Continual Traffic Forecasting via Mixture of Experts
by: Lee, Sanghyun, et al.
Published: (2024)
by: Lee, Sanghyun, et al.
Published: (2024)
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows
by: Kosieradzki, Mitch, et al.
Published: (2025)
by: Kosieradzki, Mitch, et al.
Published: (2025)
Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
by: Liu, Fuqiang, et al.
Published: (2025)
by: Liu, Fuqiang, et al.
Published: (2025)
Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting
by: Xiong, Weijiang, et al.
Published: (2026)
by: Xiong, Weijiang, et al.
Published: (2026)
PMA-Diffusion: A Physics-guided Mask-Aware Diffusion Framework for TSE from Sparse Observations
by: Liu, Lindong, et al.
Published: (2025)
by: Liu, Lindong, et al.
Published: (2025)
Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression
by: Lei, Mengying, et al.
Published: (2021)
by: Lei, Mengying, et al.
Published: (2021)
Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes
by: Wang, Zhaoyan, et al.
Published: (2025)
by: Wang, Zhaoyan, et al.
Published: (2025)
Soft Attention: Does it Actually Help to Learn Social Interactions in Pedestrian Trajectory Prediction?
by: Boucaud, Laurent, et al.
Published: (2021)
by: Boucaud, Laurent, et al.
Published: (2021)
Link Representation Learning for Probabilistic Travel Time Estimation
by: Xu, Chen, et al.
Published: (2024)
by: Xu, Chen, et al.
Published: (2024)
Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics
by: Zhang, Enming, et al.
Published: (2025)
by: Zhang, Enming, et al.
Published: (2025)
Spatial Covariance Constraints for Gaussian Mixture Models
by: Lu, Hanzhang, et al.
Published: (2026)
by: Lu, Hanzhang, et al.
Published: (2026)
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
by: Ghaffari, Amirhossein, et al.
Published: (2026)
by: Ghaffari, Amirhossein, et al.
Published: (2026)
SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation
by: Xu, Chen, et al.
Published: (2024)
by: Xu, Chen, et al.
Published: (2024)
DeRegiME: Deep Regime Mixtures for Probabilistic Forecasting under Distribution Shift
by: Wood, Kieran, et al.
Published: (2026)
by: Wood, Kieran, et al.
Published: (2026)
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting
by: Lin, Lequan, et al.
Published: (2024)
by: Lin, Lequan, et al.
Published: (2024)
Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
by: Ou, Zijing, et al.
Published: (2024)
by: Ou, Zijing, et al.
Published: (2024)
Covariate Dependent Mixture of Bayesian Networks
by: Marchant, Roman, et al.
Published: (2025)
by: Marchant, Roman, et al.
Published: (2025)
Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates
by: Iele, Irene, et al.
Published: (2026)
by: Iele, Irene, et al.
Published: (2026)
Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation
by: Jiang, Nan, et al.
Published: (2025)
by: Jiang, Nan, et al.
Published: (2025)
Continuous Mixtures of Tractable Probabilistic Models
by: Correia, Alvaro H. C., et al.
Published: (2022)
by: Correia, Alvaro H. C., et al.
Published: (2022)
TimeGMM: Single-Pass Probabilistic Forecasting via Adaptive Gaussian Mixture Models with Reversible Normalization
by: Liu, Lei, et al.
Published: (2026)
by: Liu, Lei, et al.
Published: (2026)
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
by: Yang, Yanfeng, et al.
Published: (2025)
by: Yang, Yanfeng, et al.
Published: (2025)
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting
by: Liu, Qingxiang, et al.
Published: (2024)
by: Liu, Qingxiang, et al.
Published: (2024)
Similar Items
-
Probabilistic Traffic Forecasting with Dynamic Regression
by: Zheng, Vincent Zhihao, et al.
Published: (2023) -
Better Batch for Deep Probabilistic Time Series Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2023) -
Multivariate Probabilistic Time Series Forecasting with Correlated Errors
by: Zheng, Vincent Zhihao, et al.
Published: (2024) -
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2024) -
Dynamic Modes as Time Representation for Spatiotemporal Forecasting
by: Kong, Menglin, et al.
Published: (2025)